A review of current practice in network disruption analysis and an assessment of the ability to account for isolating links in transportation networks

Sullivan, James; Aultman-Hall, Lisa; Novak, David C.

doi:10.3328/tl.2009.01.04.271-280

Cited by 51 publications

(23 citation statements)

References 31 publications

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“…Sullivan et al [27] made a comprehensive review of the literature related to the field of network disruption analysis. They presented a framework that categorizes network disruptions, addressing important concepts and challenges associated with measuring and quantifying the impacts of various types of disruptions in transportation networks.…”

Section: Vulnerabilitymentioning

confidence: 99%

Analysis of transportation networks subject to natural hazards – Insights from a Colombian case

Muriel-Villegas

Álvarez-Uribe

Patiño-Rodríguez

et al. 2016

Reliability Engineering & System Safety

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This study provides an applied framework to derive the connectivity reliability and vulnerability of interurban transportation systems under network disruptions. The proposed model integrates statistical reliability analysis to find the reliability and vulnerability of transportation networks. Most of the modern research in this field has focused on urban transportation networks where the primary concerns are guaranteeing predefined standards of capacity and travel time. However, at a regional and national level, especially in developing countries, the connectivity of remote populations in the case of disaster is of utmost importance. The applicability of the framework is demonstrated with a case study in the state of Antioquia, Colombia, using historical records from the 2010-2011 rainy season, an aspect that stands out and gives additional support compared to previous studies that considers simulated data from assumed distributions. The results provide significant insights to practitioners and researchers for the design and management of transportation systems and route planning strategies under this type of disruptions.

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Section: Vulnerabilitymentioning

confidence: 99%

Analysis of transportation networks subject to natural hazards – Insights from a Colombian case

Muriel-Villegas

Álvarez-Uribe

Patiño-Rodríguez

et al. 2016

Reliability Engineering & System Safety

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“…Investigating the robustness of disrupted networks is often associated with the measurement of vulnerability, reliability and accessibility [33]. Vulnerability refers to the degree of inability of a system to function due to disruption [33]. Essentially, the concept can be considered as the reciprocal of robustness [34].…”

Section: Literature Review 21 Post-disaster Transportation Network mentioning

confidence: 99%

Robust component: a robustness measure that incorporates access to critical facilities under disruptions

Dong

Wang

Mostafavi

et al. 2019

J. R. Soc. Interface.

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The objective of this paper is to integrate the post-disaster network access to critical facilities into the network robustness assessment, considering the geographical exposure of infrastructure to natural hazards. Conventional percolation modelling that uses generating function to measure network robustness fails to characterize spatial networks due to the degree correlation. In addition, the giant component alone is not sufficient to represent the performance of transportation networks in the post-disaster setting, especially in terms of the access to critical facilities (i.e. emergency services). Furthermore, the failure probability of various links in the face of different hazards needs to be encapsulated in simulation. To bridge this gap, this paper proposed the metric robust component and a probabilistic link-removal strategy to assess network robustness through a percolation-based simulation framework. A case study has been conducted on the Portland Metro road network during an M9.0 earthquake scenario. The results revealed how the number of critical facilities severely impacts network robustness. Besides, earthquake-induced failures led to a two-phase percolation transition in robustness performance. The proposed robust component metric and simulation scheme can be generalized into a wide range of scenarios, thus enabling engineers to pinpoint the impact of disastrous disruption on network robustness. This research can also be generalized to identify critical facilities and sites for future development.

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“…Further, previous research on water distribution component criticality analysis has not taken interdependent infrastructures, such as transportation, into account. Similar to water infrastructure systems, resilience, and thus, component criticality within the transportation networks are also dependent on the service levels provided to users, and studies have been conducted to identify critical components of transportation infrastructure networks (Miller‐Hooks, ; Sullivan et al, ; Zhang et al, ).…”

Section: Introductionmentioning

confidence: 99%

An Exact Multiobjective Optimization Approach for Evaluating Water Distribution Infrastructure Criticality and Geospatial Interdependence

Abdel-Mottaleb

Saghand

Charkhgard

et al. 2019

Water Resources Research

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Failures within water distribution systems are usually not isolated and tend to propagate to corresponding transportation infrastructure, yet most criticality and resilience analyses of water distribution networks are conducted for the individual water infrastructure without accounting for interdependence. To address this research gap, this study investigates how the critical components identified within water distribution systems may be different when accounting for failure propagation to the transportation road network. In this study, failure propagation is assumed to be based on geospatial interdependence and unidirectional, starting from water distribution network components to transportation network components. A logical interaction network is constructed considering the interdependence between both infrastructures, and multiobjective optimization is used to solve for the critical water distribution components considering: quantity of failures, performance loss, and financial costs. This work presents a modular workflow for water distribution criticality analysis and proposes the Kolmogorov‐Smirnov distance statistic between solution sets as a measure of the significance of interdependency for decision making. Results from the case study suggest that as the magnitude of water infrastructure failure increases beyond a threshold, the interdependency between water distribution and transportation becomes more significant. The difference between identified critical components using only information from water distribution and using both water distribution and transportation is significantly different (with greater than 95% confidence) for the city of Tampa, when more than 40 components fail (are isolated). These results will assist utilities in asset management and strategy assessment, by helping prioritize component repair and better allocate resources for critical interdependent infrastructures.

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A review of current practice in network disruption analysis and an assessment of the ability to account for isolating links in transportation networks

Cited by 51 publications

References 31 publications

Analysis of transportation networks subject to natural hazards – Insights from a Colombian case

Analysis of transportation networks subject to natural hazards – Insights from a Colombian case

Robust component: a robustness measure that incorporates access to critical facilities under disruptions

An Exact Multiobjective Optimization Approach for Evaluating Water Distribution Infrastructure Criticality and Geospatial Interdependence

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